Main
Haniah Kring
Education
B.S., Computer Science
Hope College
Holland, MI
Dec 2023 - Aug 2020
- Coursework: Google Data Analytics, Database Systems, R for Biological Sciences, Parallel Programming, Applied Statistical Models, Statistics for Data Science
Industry Experience
Data Analyst Intern
GreenStone Farm Credit Services
East Lansing, MI
Present - May 2023
- Converted the Current Expected Credit Loss model from Excel to R, reducing processing time by 90%.
- Developed an automated report for GreenStone’s portfolio stress test, drastically reducing the creation time of their PowerPoint from hours to mere minutes.
- Forecasted market segment growth rates to help maintain a well-balanced portfolio using the LSTM model in Python.
- Authored tableclothr, an R package that creates a common interface for gt and DT and provides helper functions for powerful, flexible tables.
Consultant Lead
Center for Leadership at Hope College
Holland, MI
Present - Aug 2022
- Advised Stryker Instruments on entering an emerging medical device industry with market analytics (NDA).
- Designed a 25 page requirements document for a new mobile app that assists mentors at Kids Hope USA with their mentoring sessions.
Research Experience
Patient-Handling Tasks and Posture Classification
Undergraduate Researcher
Hope College
July 2022 - Jan 2022
- Applied multivariate time series models in Python to predict posture quality in nurses with 98.1% accuracy.
- Presented findings at 3 regional undergraduate research conferences (WMRUGS, MSGC, and CURCA).
Macatawa Watershed Analysis
N/A
N/A
May 2021 - Aug 2020
- Collected bacterial samples of Lake Macatawa at 12 different sites and sequenced DNA for analysis.
- Leveraged the tidyverse to clean, analyze, and model ecological datasets.
- Employed statistical methods such as ANOVA, PERMANOVA, unconstrained ordinations, and heatmaps.
Teaching Experience
Teaching Assistant
R for Biological Sciences
Hope College
Present - Aug 2021
- Served as TA helping facilitate class discussions, debug student code, and grade all R assignments.